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--- |
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dataset_info: |
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features: |
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- name: q_id |
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dtype: int64 |
|
- name: question |
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dtype: string |
|
- name: answer |
|
dtype: string |
|
- name: q_word |
|
dtype: string |
|
- name: q_topic |
|
dtype: string |
|
- name: fine_class |
|
dtype: string |
|
- name: class |
|
dtype: string |
|
- name: ontology_concept |
|
dtype: string |
|
- name: ontology_concept2 |
|
dtype: string |
|
- name: source |
|
dtype: string |
|
- name: q_src_id |
|
dtype: int64 |
|
- name: quetion_type |
|
dtype: string |
|
- name: chapter_name |
|
dtype: string |
|
- name: chapter_no |
|
dtype: int64 |
|
- name: verse |
|
sequence: string |
|
- name: question_en |
|
dtype: string |
|
- name: answer_en |
|
dtype: string |
|
- name: q_word_en |
|
dtype: string |
|
- name: q_topic_en |
|
dtype: string |
|
- name: fine_class_en |
|
dtype: string |
|
- name: class_en |
|
dtype: string |
|
- name: ontology_concept_en |
|
dtype: string |
|
- name: chapter_name_en |
|
dtype: string |
|
- name: context |
|
dtype: string |
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splits: |
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- name: train |
|
num_bytes: 2172733.7563368767 |
|
num_examples: 978 |
|
- name: test |
|
num_bytes: 544294.2436631235 |
|
num_examples: 245 |
|
download_size: 1478325 |
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dataset_size: 2717028 |
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license: cc-by-4.0 |
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task_categories: |
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- question-answering |
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pretty_name: Quran Question Answer with Context |
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language: |
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- ar |
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- en |
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tags: |
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- islam |
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- quran |
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- arabic |
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--- |
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# Dataset Card for "quran-question-answer-context" |
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## Dataset Summary |
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Translated the original dataset from Arabic to English and added the Surah ayahs to the `context` column. |
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## Translation Info |
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1. Translated Arabic to English with [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) |
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2. Added the ayahs that helped answer the questions |
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- Split the `ayah` columns string into a list of integers |
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- Concactenated the Surah:Ayah pairs into a sentence to the `context` column |
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## Initial Data Collection |
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The original dataset is from **[Annotated Corpus of Arabic Al-Quran Question and Answer](https://archive.researchdata.leeds.ac.uk/464/)** |
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## Licensing Information |
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Original dataset [license](https://archive.researchdata.leeds.ac.uk/464/): **Creative Commons Attribution 4.0 International (CC BY 4.0)** |
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### Contributions |
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Original paper authors: Alqahtani, Mohammad and Atwell, Eric (2018) Annotated Corpus of Arabic Al-Quran Question and Answer. University of Leeds. https://doi.org/10.5518/356 |
